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Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems From Analytical to Soft Computing Approaches /

This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The introductory part of the book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. Subsequently, advanced robus...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Witczak, Marcin (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Lecture Notes in Control and Information Sciences, 354
Temas:
Acceso en línea:Texto Completo

MARC

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505 0 |a I. Principles of Fault Diagnosis -- Analytical Techniques-Based FDI -- Soft Computing-Based FDI -- II. State and Parameter Estimation Strategies -- State Estimation Techniques for FDI -- Parameter Estimation-Based FDI -- III. Soft Computing Strategies -- Evolutionary Algorithms -- Neural Networks -- Conclusions and Future Research Directions. 
520 |a  This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The introductory part of the book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. Subsequently, advanced robust observer structures are presented. Parameter estimation based techniques are discussed as well. A particular attention is drawn to experimental design for fault diagnosis. The book also presents a number of robust soft computing approaches utilizing evolutionary algorithms and neural networks. All approaches described in this book are illustrated by practical applications. 
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